A
licenseNot graded
qualityD
maintenanceEnables AI assistants to search, filter, and extract job listings from LinkedIn using an automated headless browser with semantic AI filtering and deduplication.
9 npm
MIT
LinkedIn MCP Server
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- AlicenseAqualityCmaintenanceEnables AI assistants to access LinkedIn data through the user's logged-in browser session, supporting profiles, companies, job searches, messaging, and feed/posts.21Apache 2.0
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- AlicenseAqualityBmaintenanceConnects LinkedIn to AI assistants, enabling lead search, profile analysis, messaging, and workflow automation through a cloud browser. Supports sales, recruiting, and market research tasks.59194 npmMIT
TDQS
A3.6/5.0
Scored across 17 tools
Disambiguation5/5
Each tool targets a distinct resource or action (profile, company, job, messaging, search, session) with clear boundaries. Even similar tools like get_person_profile and get_my_profile are distinct through target user. Detailed descriptions prevent confusion.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern using lowercase and underscores (e.g., get_company_profile, search_people, send_message). The naming is uniform and predictable.
Tool Count4/5
With 17 tools, the set is slightly above the typical 3-15 range but still well-scoped for the breadth of LinkedIn interactions covered (profiles, companies, jobs, messaging, feed, search). No tool feels redundant.
Completeness3/5
The tool set covers core read operations and limited write actions (connect, send message). Missing are posting, liking, commenting, or profile updates. For a general LinkedIn assistant, these gaps are notable but the existing tools handle key workflows.
Maintenance
ActivityActive
ResponsivenessWithin a week